Data Science Portfolio
Personal Projects and Curiosity-Driven Explorations
How to evaluate your machine learning models?
machine learning
supervised learning
evaluation
There are (minimum) 4 steps to build a machine learning model. Difference types of evaluation metrics for different type of algorithms.
In this section, we will focus on evaluation metrics for classification problems. It starts with a confusion matrix, and we go through its derived metrics and their pros and cons.
Links
- Source code on my github